Spatial Analysis and Modeling Tool Version 2 (SAMT2), a spatial modeling tool kit written in Python

Wieland, Ralf; Groth, Karin; Linde, Felix; Mirschel, Wilfried

doi:10.1016/j.ecoinf.2015.08.002

Cited by 9 publications

(2 citation statements)

References 16 publications

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“…The tool Samt2Fuzzy from the software SAMT2 [ 48 , 49 ] was used for implementing the fuzzy model. After applying the model, an output raster was created and saved as grid file using Python 2.7.…”

Section: Methodsmentioning

confidence: 99%

What makes the Asian bush mosquito Aedes japonicus japonicus feel comfortable in Germany? A fuzzy modelling approach

et al. 2019

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BackgroundThe Asian bush mosquito Aedes japonicus japonicus is an invasive species native to East Asia and has become established in North America and Europe. On both continents, the species has spread over wide areas. Since it is a potential vector of human and livestock pathogens, distribution and dissemination maps are urgently needed to implement targeted surveillance and control in case of disease outbreaks. Previous distribution models for Europe and Germany in particular focused on climate data. Until now, effects of other environmental variables such as land use and wind remained unconsidered.ResultsIn order to better explain the distribution pattern of Ae. j. japonicus in Germany at a regional level, we have developed a nested approach that allows for the combination of data derived from (i) a climate model based on a machine-learning approach; (ii) a landscape model developed by means of ecological expert knowledge; and (iii) wind speed data. The approach is based on the fuzzy modelling technique that enables to precisely define the interactions between the three factors and additionally considers uncertainties with regard to the acceptance of certain environmental conditions. The model combines different spatial resolutions of data for Germany and achieves a much higher degree of accuracy than previous published distribution models. Our results reveal that a well-suited landscape structure can even facilitate the occurrence of Ae. j. japonicus in a climatically unsuitable region. Vice versa, unsuitable land use types such as agricultural landscapes and coniferous forests reduce the occurrence probability in climatically suitable regions.ConclusionsThe approach has significantly improved existing distribution models of Ae. j. japonicus for the area of Germany. We generated distribution maps with a resolution of 100 × 100 m that can serve as a basis for the design of control measures. All model input data and scripts are open source and freely available, so that the model can easily be applied to other countries or, more generally, to other species.

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Section: Methodsmentioning

confidence: 99%

What makes the Asian bush mosquito Aedes japonicus japonicus feel comfortable in Germany? A fuzzy modelling approach

et al. 2019

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“…To address this drawback, the Hasse diagram technique (HDT) was introduced based on residual analysis. The directed HDT is an extension of the interpretative structural modeling explanatory structure model, realization based on the theory of partial order (Karin et al, 2016; Ralf & Rainer, 2013), and has been widely used in several fields, such as chemical risk assessment (Rainer & Kristina, 2012) and environmental science (El‐Basil, 2006), as well as factor ranking of land degradation (Batunacun et al, 2019), to rank the impacts of each factor. The HDT can be used to reflect the correlations of all elements in an ensemble and has shown good performance in the analysis of drivers of land degradation.…”

Section: Introductionmentioning

confidence: 99%

Identifying the drivers of vegetation changes in Inner Mongolia based on residual analysis and Hasse diagram technique

Mu,

Tong,

Batunacun

et al. 2024

Ecosphere

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Exploring the effect of climate change and human activities on vegetation is a key requisite for the reconstruction of regional ecological environments. Therefore, based on long‐term vegetation GIMMS Normalized Difference Vegetation Index (NDVI) data, climate data, and statistical data, the present study applied the Hasse diagram technique and combined the multivariate regression residual analysis to quantitatively analyze the impact of human activities and climate change on vegetation in Inner Mongolia from detailed human activities with some innovations. The results show that (1) NDVI shows an overall increasing trend over the last 39 years, with an abrupt change in 2000; moreover, vegetation growth was better before the abrupt change (PI: 1982–2000) than after it (PII: 2001–2020), with significant downward trends in Xilin Gol and Hulunbuir. (2) Human activities can promote as well as inhibit vegetation, and the promotion effect was larger during 1982–2000 than during 2001–2020, whereas the inhibition effect was larger during 2001–2020. In addition, during PI, vegetation in Inner Mongolia generally experienced promotion by human activities and climate change, while during PII, climate‐driven promotion had the strongest effect, followed by human‐driven inhibition mainly distributed in Xilin Gol. (3) The result of the Hasse diagram analysis shows that the dominant pathways of human activities affecting most of the cities were economic factors and urbanization during PI and economization during PII.

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Modelling and Simulation of Agricultural Landscapes

Mirschel

Berg-Mohnicke

Wieland

et al. 2020

Innovations in Landscape Research

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Spatial Analysis and Modeling Tool Version 2 (SAMT2), a spatial modeling tool kit written in Python

Cited by 9 publications

References 16 publications

What makes the Asian bush mosquito Aedes japonicus japonicus feel comfortable in Germany? A fuzzy modelling approach

What makes the Asian bush mosquito Aedes japonicus japonicus feel comfortable in Germany? A fuzzy modelling approach

Identifying the drivers of vegetation changes in Inner Mongolia based on residual analysis and Hasse diagram technique

Modelling and Simulation of Agricultural Landscapes

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